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Paper Citation Record · LEDGER

DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.21776.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.21776 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:41:33.648146Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88498db9-a861-409e-8e29-3caf5fafd210 · inbound

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems cites this paper.

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T04:41:33.648146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:41:33.648146Z digest=sha256:d450a0f5eb63760b7f0be30bd30f3fb0495bcfc84d384258aedf098aa2447a8a

Observation 64dd307f-b9f0-4c47-9a0d-1a00e6442c7a · inbound

Probabilistic Inversion with Flow Matching cites this paper.

Probabilistic Inversion with Flow Matching DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:25:26.828259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:21:38.834426Z digest=sha256:f64100f6a978dbd10286d9cc9da658e5d3b8ea21de8527ed4b3e1c9468380f55

Observation b306db91-7c1d-4b33-bc95-2277b8baea3a · inbound

Post-FWI Injection of Learned Priors Using a Flow Matching Model cites this paper.

Post-FWI Injection of Learned Priors Using a Flow Matching Model DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-30T14:59:50.132947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:59:50.132947Z digest=sha256:dd78b70e67a85b7e0ec1b94330b081cbf7e57d4440ab95e95e0f5b56e5ddd5b3